Evidence map›Paper›PMID 30064507›Full record

ArticleParasites & vectors2018

Using barrier screens to characterize mosquito composition, flight activity, and abdominal status in South Lampung, Indonesia.

Jenna R Davidson, Supratman Sukowati, Shinta, Puji Budi Setia Asih, Din Syafruddin, Robert N Baskin, Brandy St Laurent, William A Hawley, Fang Liu, Thomas R Burkot and 2 more

Abstract read
In one paragraph

Article in Parasites & vectors, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Jenna R DavidsonEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. jdavids2@nd.edu.
Supratman SukowatiPusat Teknologi Intervensi Kesehatan Masyarakat, Badan Litbangkes Kemenkes (Center for Public Health Intervention Technology, Ministry of Health), Jakarta, Indonesia.
ShintaPusat Teknologi Intervensi Kesehatan Masyarakat, Badan Litbangkes Kemenkes (Center for Public Health Intervention Technology, Ministry of Health), Jakarta, Indonesia.
Puji Budi Setia AsihEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Din SyafruddinEijkman Institute for Molecular Biology, Jakarta, Indonesia.
Robert N BaskinEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA.
Brandy St LaurentEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA.
William A HawleyChild Development and Survival Cluster, UNICEF, Jakarta, Indonesia.
Fang LiuEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA.
Thomas R BurkotJames Cook University, Queensland Tropical Health Alliance, QLD, Cairns, 4870, Australia.
Frank H CollinsEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA.
Neil F LoboEck Institute for Global Health, University of Notre Dame, Notre Dame, IN, 46556, USA. nlobo@nd.edu.

Funding

Bill and Melinda Gates Foundation 45114
6 · The paper itself

Abstract

backgroundMosquito sampling methods target different aspects of mosquito behavior and are subject to trap and location specific biases. The barrier screen sampling method was developed and tested to sample free-flying, blood-fed, and host-seeking mosquitoes. During a pilot study, this method was useful in obtaining an unbiased sample of mosquitoes flying between outdoor larval habitats, and sites where blood meals were obtained. However, a relatively small number of blood-fed Anopheles mosquitoes were collected in Indonesia during the pilot study. The sampling method was extended in South Lampung, Indonesia, to enable the collection of blood-fed mosquitoes. This study aimed to intercept mosquitoes flying between human habitations and larval habitats with a barrier screen and to characterize mosquito composition, flight characteristics (direction, height and time), abdominal status, and parity.

resultsBarrier screens intercepted 15 different mosquito species in South Lampung: eight Anopheles spp. and seven Culex spp. Species compositions varied among the villages in South Lampung. About 15% of Anopheles spp. caught were blood-fed, of which 28.2% of those tested had fed on humans. This is the first time human blood-fed anophelines have been collected in Indonesia using barrier screens. Blood meals identified included cow, dog, goat, and human, as well as mixed blood meals. Activity of unfed An. subpictus, the primary vector collected, flying towards human habitations peaked between 20:00-12:00 h, with a slow decline in activity until 18:00 h. Unfed and fed An. sundaicus, had a different activity profile compared to An. subpictus. Other species demonstrated varied peak activity times, with earlier activity occurring as a general trend. For the Anopheles mosquitoes collected, 55.5% were collected below 0.5 m and 83.9% were captured resting < 1 m from the ground. Parity dissections enabled age structure by species, which revealed species-specific traits such as nulliparous An. subpictus being more active early in the night relative to An. sundaicus.

conclusionsThis study demonstrates that barrier screens are an effective mosquito sampling method that can be used to gain insights into local mosquito species composition, flight characteristics (direction, height and time), abdominal status, and parity.

Indexed as

AbdomenAnimalsAnophelesBehavior, AnimalBloodCulexFemaleIndonesiaPilot ProjectsSpecies SpecificityTime FactorsAnophelesBarrier screensBionomicsCulex

Identifiers

PMID30064507
PMCPMC6069869

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.